Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:42:22.405887Z
Paper Citation Record · LEDGER
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving
As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.23565.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
- verified exact0
- verified fuzzy48
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ef9ac778-a123-4faa-98f9-4e12a376c109 · outbound
This paper cites nuscenes: A multi- modal dataset for autonomous driving.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving nuscenes: A multi- modal dataset for autonomous driving
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:31.309757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e45435f8-be1c-489c-aa0c-2e394b919008 · outbound
This paper cites Objectfusion: Multi-modal 3d object detection with object-centric fusion.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Objectfusion: Multi-modal 3d object detection with object-centric fusion
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:31.103980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3b91fb9a-7d1d-4814-ba3b-5ba9ddd73b4e · outbound
This paper cites GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:16.798729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a75f72dd-6b73-4f17-886f-76cdd35559f4 · outbound
This paper cites Recurrentbev: a long-term temporal fusion framework for multi-view 3d detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Recurrentbev: a long-term temporal fusion framework for multi-view 3d detection
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:30.883620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4ba0039d-456a-49c7-945e-c6ac53eec03e · outbound
This paper cites Learning high- resolution vector representation from multi-camera images for 3d object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Learning high- resolution vector representation from multi-camera images for 3d object detection
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:30.617398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 43e4343c-e52e-4cce-80c4-3d5c56ae5edf · outbound
This paper cites Bev-san: Accurate bev 3d object detection via slice attention networks.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bev-san: Accurate bev 3d object detection via slice attention networks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:30.361724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8ebcd6af-def0-4094-825b-043c055b181d · outbound
This paper cites Depth-regularized optimization for 3d gaussian splatting in few-shot images.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Depth-regularized optimization for 3d gaussian splatting in few-shot images
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:30.176319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d1cc05be-263f-4efa-a2e8-081ca7ddc4da · outbound
This paper cites MMDetection3D: Open- MMLab next-generation platform for general 3D object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving MMDetection3D: Open- MMLab next-generation platform for general 3D object detection
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:29.967910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 215c8d3a-eeae-44dd-85ea-464a3296e298 · outbound
This paper cites Exploring recurrent long-term temporal fusion for multi-view 3d perception.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Exploring recurrent long-term temporal fusion for multi-view 3d perception
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:29.648707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8194c629-16ed-4c4e-95b1-38487f63c181 · outbound
This paper cites Deep residual learning for image recognition.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Deep residual learning for image recognition
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:17.713837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e23f9bad-b09e-4275-a2bc-b6fcd58569f4 · outbound
This paper cites Open: Object-wise position embedding for multi-view 3d object de- tection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Open: Object-wise position embedding for multi-view 3d object de- tection
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:29.447637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ebcf1f09-43aa-4a9b-a37e-a50f4285e233 · outbound
This paper cites BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:17.901920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d800903-feea-4e21-b852-7d25691d9135 · outbound
This paper cites BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:18.100409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b12039ea-271a-4596-9268-b6542e9b11e7 · outbound
This paper cites GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:18.214716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69697de3-9055-4582-a38c-67d4cdcfc8df · outbound
This paper cites Enhanc- ing 3d object detection with 2d detection-guided query an- chors.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Enhanc- ing 3d object detection with 2d detection-guided query an- chors
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:29.271625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 990e896e-5211-4388-9742-4f26e47d9d87 · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving 3d gaussian splatting for real-time radiance field rendering
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:28.979560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d88f0328-1d0a-4c51-b9dd-9bddce29f294 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Adam: A Method for Stochastic Optimization
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:18.541541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f38a273-10b9-46c6-b6b3-46595500f2f3 · outbound
This paper cites Seabird: Segmentation in bird’s view with dice loss improves monocular 3d detection of large objects.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Seabird: Segmentation in bird’s view with dice loss improves monocular 3d detection of large objects
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:28.867518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cc3274cf-eb62-420c-8a32-18d72688fb08 · outbound
This paper cites Delving into the devils of bird’s- eye-view perception: A review, evaluation and recipe.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Delving into the devils of bird’s- eye-view perception: A review, evaluation and recipe
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:28.714550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e0cc1af4-1211-4541-b338-cca76d9dafb2 · outbound
This paper cites Dualbev: Cnn is all you need in view transformation.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Dualbev: Cnn is all you need in view transformation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:28.570458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2f34df03-84c1-4696-b850-b299b686b942 · outbound
This paper cites Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:18.941160Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4be97e45-cab0-483f-9eb1-a088f2d28a9a · outbound
This paper cites Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevdepth: Acquisition of reliable depth for multi-view 3d object detec- tion
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:28.316893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8ae8f313-c87e-4c46-bd26-c9ed95f477ea · outbound
This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:28.166678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eb845926-9ee9-4a1b-8bf2-e64d1c9c690a · outbound
This paper cites Fb-bev: Bev representa- tion from forward-backward view transformations.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Fb-bev: Bev representa- tion from forward-backward view transformations
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:28.017841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ad267ae8-ecab-4d96-b211-ce684645bd1f · outbound
This paper cites Bevnext: Reviving dense bev frameworks for 3d object de- tection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevnext: Reviving dense bev frameworks for 3d object de- tection
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:27.848665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 87a47adb-4c9f-4574-b04c-ba3b159b1abc · outbound
This paper cites Feature pyramid networks for object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Feature pyramid networks for object detection
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:27.580513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aafc012a-6c9c-42ac-b814-6b89b1e1edb5 · outbound
This paper cites Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:19.453913Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92e39488-9dc0-4028-bf06-4bc7ad95cdeb · outbound
This paper cites Ray denoising: Depth-aware hard negative sampling for multi- view 3d object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Ray denoising: Depth-aware hard negative sampling for multi- view 3d object detection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:27.396411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4ad182da-0881-4e97-be7a-0cb0e1357658 · outbound
This paper cites Sparsebev: High-performance sparse 3d object detec- tion from multi-camera videos.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Sparsebev: High-performance sparse 3d object detec- tion from multi-camera videos
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:27.250642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cce754cb-d2c5-42f9-afb3-f7b6ba211046 · outbound
This paper cites Fast generalizable gaussian splatting reconstruction from multi-view stereo.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Fast generalizable gaussian splatting reconstruction from multi-view stereo
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:27.034052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6c112ef4-e058-4455-b046-398975b287c4 · outbound
This paper cites Multi-view atten- tive contextualization for multi-view 3d object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Multi-view atten- tive contextualization for multi-view 3d object detection
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.803453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ef4497fc-b8de-4709-b7fb-d57420abfd84 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Swin transformer: Hierarchical vision transformer using shifted windows
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.704276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5d7753c3-0fda-4ac0-88ec-87c07fc54514 · outbound
This paper cites A convnet for the 2020s.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving A convnet for the 2020s
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.666382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1c5ca0aa-aa4f-4e12-be02-2f62b0a26c58 · outbound
This paper cites Nerf in the wild: Neural radiance fields for uncon- strained photo collections.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Nerf in the wild: Neural radiance fields for uncon- strained photo collections
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.654014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 18a7258e-dade-4a5d-a4f7-abd8ce8987cd · outbound
This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Nerf: Representing scenes as neural radiance fields for view syn- thesis
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.587479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2f48f45e-af4f-457c-8790-71a68ccdb6ed · outbound
This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving V-net: Fully convolutional neural networks for volumetric medical image segmentation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:20.078414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaca58a1-5ada-4062-92b5-611ac70e1ff7 · outbound
This paper cites UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:20.140230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d983a85-d0bb-4242-b1e6-296bfb0c9c4a · outbound
This paper cites Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.439023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 47b9d91a-ea68-486b-90d2-39aa408eb99b · outbound
This paper cites Is pseudo-lidar needed for monocular 3d object detection? In ICCV, 2021.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Is pseudo-lidar needed for monocular 3d object detection? In ICCV, 2021
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.300031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 77fbd84e-351f-4c70-abe7-a6f30b58a605 · outbound
This paper cites Time will tell: New outlooks and a baseline for temporal multi- view 3d object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Time will tell: New outlooks and a baseline for temporal multi- view 3d object detection
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.176952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ab4eb4f0-37f7-4d5f-89d1-4f030a8def9c · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Pytorch: An imperative style, high-performance deep learning library
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:26.004337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e2541974-f87b-45ad-923c-e77377176135 · outbound
This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:25.775350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3e017acb-22c9-42c2-b395-c44a44dc5b71 · outbound
This paper cites Scalability in perception for autonomous driving: Waymo open dataset.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Scalability in perception for autonomous driving: Waymo open dataset
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:20.639178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 854403ae-d318-402a-be18-07627bc982ff · outbound
This paper cites Block-nerf: Scalable large scene neural view synthesis.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Block-nerf: Scalable large scene neural view synthesis
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:25.537753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6ecd3e66-cb0d-444f-9b32-ddf72ce7d68f · outbound
This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Exploring object-centric temporal modeling for efficient multi-view 3d object detection
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:25.396093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3b1716fb-8d49-45b8-9edc-075a0929849a · outbound
This paper cites Fcos3d: Fully convolutional one-stage monocular 3d object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Fcos3d: Fully convolutional one-stage monocular 3d object detection
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:25.194387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1b2b099c-96f2-40d4-acd1-9366f80545f0 · outbound
This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:24.984670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 94d3ffec-37fd-4c04-9915-d6c60e2b23c1 · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Image quality assessment: from error visibility to structural similarity
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:24.753095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 38b547f9-b2f7-48b8-beda-80a3bd1d392b · outbound
This paper cites Mapnerf: Incorporating map priors into neural ra- diance fields for driving view simulation.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Mapnerf: Incorporating map priors into neural ra- diance fields for driving view simulation
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:24.522137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 887cdd73-3091-4b7c-852e-3991c7c137c7 · outbound
This paper cites 4d gaussian splatting for real-time dynamic scene rendering.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving 4d gaussian splatting for real-time dynamic scene rendering
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:24.284857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 178ced7c-548b-4dbe-9a5d-409df20394f5 · outbound
This paper cites Heightformer: Explicit height modeling without extra data for camera-only 3d object detection in bird’s eye view.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Heightformer: Explicit height modeling without extra data for camera-only 3d object detection in bird’s eye view
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:24.071555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a122763c-2296-42b1-8bc7-92505e73904c · outbound
This paper cites Nerf-det: Learning geometry-aware volu- metric representation for multi-view 3d object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Nerf-det: Learning geometry-aware volu- metric representation for multi-view 3d object detection
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:23.896569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 116808bf-207f-4e0f-838c-e647a12de567 · outbound
This paper cites Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:21.554547Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bde29fb5-0481-407e-8a00-a23c53c3c832 · outbound
This paper cites Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective su- pervision.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Bevformer v2: Adapting modern image backbones to bird’s-eye-view recognition via perspective su- pervision
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:23.710776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 30bf9e3d-8d28-4861-9c46-968b7f2b6fe8 · outbound
This paper cites EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:21.836791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65ad402b-749d-424b-a991-3ace4dcd838c · outbound
This paper cites Center- based 3d object detection and tracking.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Center- based 3d object detection and tracking
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:23.445588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 198ef89a-bfa2-47f4-aab2-7b57c3b3411a · outbound
This paper cites Sa-bev: Generating semantic-aware bird’s-eye-view feature for multi-view 3d object detection.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Sa-bev: Generating semantic-aware bird’s-eye-view feature for multi-view 3d object detection
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:23.275182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bc914b31-3ad4-419a-8b2d-b75767ce2dab · outbound
This paper cites Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:23.138277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2b166a0d-1810-462f-8675-b14df96535b5 · outbound
This paper cites Hybridocc: Nerf enhanced transformer-based multi-camera 3d occupancy prediction.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Hybridocc: Nerf enhanced transformer-based multi-camera 3d occupancy prediction
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:22.942128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 928a4a7c-dfdf-45d4-8c8b-674350aa9e64 · outbound
This paper cites Hugs: Holistic urban 3d scene understanding via gaus- sian splatting.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Hugs: Holistic urban 3d scene understanding via gaus- sian splatting
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:22.797813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f000226f-deb9-449a-a421-f8fb128f6c50 · outbound
This paper cites Drivinggaussian: 14 Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes.
OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving Drivinggaussian: 14 Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:42:22.639242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.